A-Share News Analysis
Paste the following prompt into your AI chat to install this skill:
Follow https://skillhub.cn/install/skillhub.md to install @user_d196d58d/investoday-stock-message-analysis-v2.
About this skill
Problem
A-share stock discussions often get stuck when there are many headlines but no clear thesis. Reading announcements, news, or research notes in isolation can turn stale items, sector noise, or repeated coverage into apparent catalysts. Without market-price context, it is also hard to tell whether an event has been priced in. This skill focuses on a specific stock and turns recent news into an assessable read.
How it works
It relies on the investoday-finance-data interface. After resolving the ticker with search, it fetches:
- stock/basic-info
- 30-day company, industry, macro, and market news
- 90-day research/sentiment and report/stock-forecast-ratings
- 30-day announcements
- stock-quote/realtime-merge
It then applies a five-step framework: core events, sentiment impact, institutional validation, market response, and overall judgment, producing a structured interpretation.
Boundaries
It is best for questions like “what happened recently, is it bullish or bearish, and have institutions and the market validated it?” If the focus is same-day price-movement attribution, prefer stock anomaly analysis. If the focus is institutional views, prefer research-report interpretation. The output does not expose internal scores and does not provide buy/sell, position-sizing, or target-price advice.
Use Cases
- Review the last 30 days of news and announcements for an A-share stock to identify core events.
- Evaluate whether a positive company update has been validated by research ratings and recent price action.
- Organize a stock's news flow to distinguish short-term sentiment from mid-term fundamental changes.
- Track event-driven logic to confirm whether the market has already priced in the development.
Best For
- Investment researchers tracking A-share stock news and core events
- Quant analysts focused on event-driven logic and market validation
- Fundamental investors evaluating short-term catalysts and long-term risks
- Financial engineers reviewing consistency across news, research, and prices
Related Skills
Reviews Chinese-law contract text via the accurLex API, returns the full review opinion, and exports a Word document.
Generates executable FAERS active-comparator safety comparison research plans focused on one SOC or PT family.
A reference framework for financial data analysis covering statements, KPIs, visualization, and reporting templates, without executing code or collecting data.
A knowledge-base-driven advisor for weak-current, network, and telecom equipment selection, covering parameter comparison, model recommendations, compatibility checks, and budgeting.